• Title/Summary/Keyword: data rate

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Using Structural Changes to support the Neural Networks based on Data Mining Classifiers: Application to the U.S. Treasury bill rates

  • Oh, Kyong-Joo
    • 한국데이터정보과학회:학술대회논문집
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    • 2003.10a
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    • pp.57-72
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    • 2003
  • This article provides integrated neural network models for the interest rate forecasting using change-point detection. The model is composed of three phases. The first phase is to detect successive structural changes in interest rate dataset. The second phase is to forecast change-point group with data mining classifiers. The final phase is to forecast the interest rate with BPN. Based on this structure, we propose three integrated neural network models in terms of data mining classifier: (1) multivariate discriminant analysis (MDA)-supported neural network model, (2) case based reasoning (CBR)-supported neural network model and (3) backpropagation neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural network model alone and, in addition, determine which of three classifiers (MDA, CBR and BPN) can perform better. For interest rate forecasting, this study then examines the predictability of integrated neural network models to represent the structural change.

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An analysis of the gyro random process (자이로 랜덤 프로세스의 분석)

  • 고영웅;김경주;이재철;권태무
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.210-212
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    • 1996
  • Random drift rate (i.e., random drift in angle rate) of a gyro represents the major error source of inertial navigation systems that are required to operate over long time intervals. It is uncorrectable and leads to an increase in the error with the passage of time. In this paper a technique is presented for analyzing random process from experimental data and the results are presented. The problem of estimating the a priori statistics of a random process is considered using time averages of experimental data. Time averages are calculated and used in the optimal data-processing techniques to determine the statistics of the random process. Therefore the contribution each component to the gyro drift process can be quantitatively measured by its statistics. The above techniques will be applied to actual gyro drift rate data with satisfactory results.

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Fuzzy Test of Hypotheses by Rate of Internal Division (내분비에 의한 퍼지 가설 검정)

  • Kang, Man-Ki;Jung, Ji-Young
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.4
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    • pp.425-428
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    • 2012
  • We propose some properties for fuzzy hypotheses testing by the principle of the rate of internal division on delta-levels. By the rate of internal division, we show that the acceptance and rejection degree for fuzzy the fuzzy hypotheses and reduce the spread of the fuzzy variance with average of the center and left or right spread of fuzzy number data.

Power Allocation Framework for OFDMA-based Decode-and-Forward Cellular Relay Networks

  • Farazmand, Yalda;Alfa, Attahiru S.
    • Journal of Communications and Networks
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    • v.16 no.5
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    • pp.559-567
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    • 2014
  • In this paper, a framework for power allocation of downlink transmissions in orthogonal frequency division multiple access-based decode-and-forward cellular relay networks is investigated. We consider a system with a single base station communicating with multiple users assisted by multiple relays. The relays have limited power which must be divided among the users they support in order to maximize the data rate of the whole network. Advanced power allocation schemes are crucial for such networks. The optimal relay power allocation which maximizes the data rate is proposed as an upper bound, by finding the optimal power requirement for each user based on knapsack problem formulation. Then by considering the fairness, a new relay power allocation scheme, called weighted-based scheme, is proposed. Finally, an efficient power reallocation scheme is proposed to efficiently utilize the power and improve the data rate of the network. Simulation results demonstrate that the proposed power allocation schemes can significantly improve the data rate of the network compared to the traditional scheme.

Research on the data rate increasing technique for terrestrial mobile multimedia broadcasting (지상파 이동멀티미디어 방송의 전송률 개선기법 연구)

  • Bae, Jae-Hwui;Lim, Hyoung-Soo;Lim, Jong-Soo;Lee, Soo-In;Han, Dong-Seok
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.109-110
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    • 2006
  • We propose a data rate increasing technique for T-DMB (terrestrial digital multimedia broadcasting) system. With the application of hierarchical modulation, it is possible to increase data rate and improve services. We conducted the performance analysis of the proposed hierarchical modulation in AWGN channel and showed the BER analysis. The simulation results show that the proposed method shows possibilities to increase the data rate with a moderate degradation of the existing system.

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A Study on the Development of Measurement System for Fluid Volume and Flow Rate (유체의 유량 및 유속 측정 시스템 개발에 관한 연구)

  • Lee, Seok-Won;Lee, Tea-Jin;Nam, Yun-Seok
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2492-2494
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    • 2003
  • Urine analysis is one of the most important medical examination in the hospital. Not only the data for the ingredients of urine through chemical analysis, but also the data related to fluid dynamics, e.g., peak flow rate, average flow rate, may provide some useful information about patient's state of health. Therefore, we develop the portable system to measure and analyse fluid volume/flow rate in this study. This system can store and print the measured data during the pre-specified time interval, and provide some meaningful data related with fluid dynamics. We explain the method and the technical stuff to implement the system, and show the result.

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A Study for Efficient EM Algorithms for Estimation of the Proportion of a Mixed Distribution (분포 혼합비율의 모수추정을 위한 효율적인 알고리즘에 관한 연구)

  • 황강진;박경탁;유희경
    • Journal of Korean Society for Quality Management
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    • v.30 no.4
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    • pp.68-77
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    • 2002
  • EM algorithm has good convergence rate for numerical procedures which converges on very small step. In the case of proportion estimation in a mixed distribution which has very big incomplete data or of update of new data continuously, however, EM algorithm highly depends on a initial value with slow convergence ratio. There have been many studies to improve the convergence rate of EM algorithm in estimating the proportion parameter of a mixed data. Among them, dynamic EM algorithm by Hurray Jorgensen and Titterington algorithm by D. M. Titterington are proven to have better convergence rate than the standard EM algorithm, when a new data is continuously updated. In this paper we suggest dynamic EM algorithm and Titterington algorithm for the estimation of a mixed Poisson distribution and compare them in terms of convergence rate by using a simulation method.

Game Theoretic based Distributed Dynamic Power Allocation in Irregular Geometry Multicellular Network

  • Safdar, Hashim;Ullah, Rahat;Khalid, Zubair
    • International Journal of Computer Science & Network Security
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    • v.22 no.7
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    • pp.199-205
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    • 2022
  • The extensive growth in data rate demand by the smart gadgets and mobile broadband application services in wireless cellular networks. To achieve higher data rate demand which leads to aggressive frequency reuse to improve network capacity at the price of Inter Cell Interference (ICI). Fractional Frequency Reuse (FFR) has been recognized as an effective scheme to get a higher data rate and mitigate ICI for perfect geometry network scenarios. In, an irregular geometric multicellular network, ICI mitigation is a challenging issue. The purpose of this paper is to develop distributed dynamic power allocation scheme for FFR based on game theory to mitigate ICI. In the proposed scheme, each cell region in an irregular multicellular scenario adopts a self-less behavior instead of selfish behavior to improve the overall utility function. This proposed scheme improves the overall data rate and mitigates ICI.

The Optimum Mix Design of 40MPa, 60MPa High Fluidity Concrete using Neural Network Model (신경망 모델을 이용한 40MPa, 60MPa 고유동 콘크리트의 최적배합설계)

  • Cho, Sung-Won;Cho, Sung-Eun;Kim, Young-Su
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.05a
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    • pp.223-224
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    • 2021
  • Recently, the demand for high fluidity concrete has been increased due to skyscrapers. However, it has its own limits. First of all, high fluidity concrete has large variation and through trial & error it costs lots of money and time. Neural network model has repetitive learning process which can solve the problem while training the data. Therefore, the purpose of this study is to predict optimum mix design of 40MPa, 60MPa high fluidity concrete by using neural network model and verifying compressive strength by applying real data. As a result, comparing collective data and predicted compressive strength data using MATLAB, 40MPa mix design error rate was 1.2%~1.6% and 60MPa mix design error rate was 2%~3%. Overall 40MPa mix design error rate was less than 60MPa mix design error rate.

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Transition-limited pulse-amplitude modulation technique for high-speed wireline communication systems

  • Eunji Song;Seonghyun Park;Jaeduk Han
    • ETRI Journal
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    • v.45 no.6
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    • pp.974-981
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    • 2023
  • This paper presents a transition-limited pulse-amplitude modulation (TLPAM) signaling method to enable a high data rate and robust wireline communications. TLPAM signaling addresses the impact of high intersymbol interference (ISI) ratios in conventional M-ary PAM signaling methods by limiting the maximum voltage transition level between adjacent symbols. The implementation of a TLPAM signaling encoder is realized by setting back the most significant bits (MSBs) in the queue. The correlation between TLPAM's maximum transition level, effective data rate, and eye width/height is analyzed with various channel loss parameters, followed by characterization and measurement results with a realistic channel setup. The analysis and experimental results reveal the effectiveness of the proposed TLPAM signaling scheme for achieving a high data rate with minimal interference.